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Application of nonlinear Krylov acceleration to a reconstructed discontinuous Galerkin method for compressible flows

机译:非线性Krylov加速将非线性krylov加速度应用于压缩流动的重建不连续Galerkin方法

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摘要

A variant of Anderson Mixing, namely the Nonlinear Krylov Acceleration (NKA), is presented and implemented in a reconstructed Discontinuous Galerkin (rDG) method to solve the compressible Euler and Navier-Stokes equations on hybrid grids. A nonlinear system of equations as a result of a fully implicit temporal discretization at each time step is solved using the NKA method with a lower-upper symmetric Gauss-Seidel (LU-SGS) preconditioner. The developed NKA method is used to compute a variety of flow problems and compared with a well-known Newton-GMRES method to demonstrate the performance of the NKA method. Our numerical experiments indicate that the NKA method outperforms its Newton-GMRES counterpart for transient flow problems, and is comparable to Newton-GMRES for steady cases, and thus provides an attractive alternative to solve the system of nonlinear equations arising from the rDG approximation. (C) 2017 Elsevier Ltd. All rights reserved.
机译:Anderson混合的变型,即非线性Krylov加速度(NKA),并以重建的不连续的Galerkin(RDG)方法在混合网格上解决可压缩的欧拉和Navier-Stokes方程。 使用具有下上部对称高斯 - Seidel(LU-SGS)预处理器的NKA方法来解决作为每个时间步骤的完全隐式时间离散化的非线性等式的非线性系统。 开发的NKA方法用于计算各种流动问题,并与众所周知的牛顿-GMRES方法进行比较,以证明NKA方法的性能。 我们的数值实验表明,NKA方法优于其牛顿GMRES对应于瞬态流量问题,并且与常规情况的牛顿GMRES相当,因此提供了一种有吸引力的替代方案来解决从RDG近似引起的非线性方程系统。 (c)2017 Elsevier Ltd.保留所有权利。

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